Pages that link to "Item:Q894844"
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The following pages link to Robust joint non-linear mixed-effects models and diagnostics for censored HIV viral loads with CD4 measurement error (Q894844):
Displaying 15 items.
- Bayesian segmental growth mixture Tobit models with skew distributions (Q736578) (← links)
- Influence assessment in censored mixed-effects models using the multivariate Student's-\(t\) distribution (Q746870) (← links)
- A semiparametric nonlinear mixed-effects model with non-ignorable missing data and measurement errors for HIV viral data (Q1023933) (← links)
- Quantile regression for censored mixed-effects models with applications to HIV studies (Q1747445) (← links)
- Heavy-tailed longitudinal regression models for censored data: a robust parametric approach (Q2273182) (← links)
- Linear and nonlinear mixed-effects models for censored HIV viral loads using normal/independent distributions (Q2893424) (← links)
- Skew-normal/independent linear mixed models for censored responses with applications to HIV viral loads (Q2902549) (← links)
- A Generalized Estimating Equation Approach to Modelling Incompatible Data Formats with Covariate Measurement Error: Application to Human Immunodeficiency Virus Immune Markers (Q3441370) (← links)
- Multivariate measurement error models based on Student-<i>t</i> distribution under censored responses (Q4559359) (← links)
- Joint distributional expansions of maxima and minima from skew-normal samples (Q5078076) (← links)
- Bayesian Estimation of Random Parameter Models of Responses with Normal and Skew-t Distibutions Evidence from Monte Carlo Simulation (Q5141923) (← links)
- (Q5207231) (← links)
- Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies (Q6068837) (← links)
- Bayesian multivariate nonlinear mixed models for censored longitudinal trajectories with non-monotone missing values (Q6566364) (← links)
- A Bayesian approach for mixed effects state-space models under skewness and heavy tails (Q6595075) (← links)
